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Generative Models

1275 directly classified papers

Papers per year

Papers

MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space AAAI 2020
Controlling the Amount of Verbatim Copying in Abstractive Summarization AAAI 2020
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs AAAI 2020
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020
CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation AAAI 2020
Bi-Directional Generation for Unsupervised Domain Adaptation AAAI 2020
Effective Data Augmentation with Multi-Domain Learning GANs AAAI 2020
Generative-Discriminative Complementary Learning AAAI 2020
Meta-Learning for Generalized Zero-Shot Learning AAAI 2020
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance AAAI 2020
Reciprocal Adversarial Learning via Characteristic Functions NIPS 2020
Dirichlet Graph Variational Autoencoder NIPS 2020
Barking up the right tree: an approach to search over molecule synthesis DAGs NIPS 2020
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars NIPS 2020
Differentiable Augmentation for Data-Efficient GAN Training NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020
Further Analysis of Outlier Detection with Deep Generative Models NIPS 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence NIPS 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining NIPS 2020
Training Generative Adversarial Networks with Limited Data NIPS 2020
Improved Techniques for Training Score-Based Generative Models NIPS 2020
A Spectral Energy Distance for Parallel Speech Synthesis NIPS 2020
Instance Selection for GANs NIPS 2020
Deep Automodulators NIPS 2020
Learning Sparse Prototypes for Text Generation NIPS 2020